Data Science Manager

Waltech; Waltham (MA); On-site; USD 120,000 - 190,000; Full time

Job summary

Waltech is seeking a Data Science Manager to lead a team and contribute hands-on in a fast-moving organization. You will turn data into actionable intelligence and drive real-world impact for millions of people.

You will oversee data science activities, mentor team members, and collaborate across functions using agile practices. A strong background in ML, Python/R, SQL, and cloud environments is required.

Qualifications

• 4+ years of data science experience (energy sector is a plus).
• Experience leading large projects and/or a team of individual contributors.
• Demonstrated ability to communicate and interact with business stakeholders without supervision.
• Demonstrated ability to translate technical knowledge into business terms.
• Fluency in: Machine learning tools and technique.
• Python and/or R.
• SQL.
• Experience with cloud computing in Linux and Windows environments (Azure is a plus).
• PhD or Master’s degree in a quantitative discipline, exceptional candidates considered with Bachelor’s degree or Master’s degree in progress.

Responsibilities

• Lead, manage, and mentor a team of Data Scientists.
• Employ sophisticated analytics programs, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations.
• Discover the best methods of integrating data from several different sources and formats for use in analyses.
• Project manage efforts both internal to the team and across the enterprise.
• Be intellectually curious and enjoy learning.

Skills

Machine learning tools and technique

Python or R

SQL

Agile frameworks

GitHub

Power BI

Stack Overflow

Cloud computing (Azure a plus)

Education

PhD or Master’s in quantitative discipline

Tools

GitHub

Stack Overflow

Power BI

Job description

As a Data Science Manager, you will lead a team and do hands-on work. You will work in a dynamic organization to turn data into actionable intelligence. The variety and complexity of challenges you will solve is second to none, but most important is the real world impact your work will have on the lives of millions of people.

The Data Science teams provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from simple to advanced. An ability to work cross-functionally and on Agile teams is critical and you should have a broad knowledge of:

• Statistical & Probabilistic Analyses
• Programming/Software Development
• Effective Visualization and Presentation

Key Accountabilities

• Lead, manage, and mentor a team of Data Scientists
• Employ sophisticated analytics programs, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations
• Discover the best methods of integrating data from several different sources and formats for use in analyses
• Project manage efforts both internal to the team and across the enterprise
• Be intellectually curious and enjoy learning

Supervisory/Interpersonal- Experience Required

• Can manage projects both internal to the team and across the enterprise.
• Can supervise and mentor other team members.

Qualifications

• 4+ years of data science experience (energy sector is a plus)
• Experience leading large projects and/or a team of individual contributors
• Demonstrated ability to communicate and interact with business stakeholders without supervision
• Demonstrated ability to translate technical knowledge into business terms
• Fluency in:
• Machine learning tools and technique
• Python and/or R
• SQL
• Experience with cloud computing in Linux and Windows environments (Azure is a plus)
• P.hD or Master’s degree in a quantitative discipline, exceptional candidates considered with Bachelor’s degree or Master’s degree in progress

Preferred Skills and Experience:

• Strong background in full lifecycle of Data Science products
• Knowledge of Agile frameworks
• Active github repository and stackoverflow account
• Interactive visualization tools (Power BI is a plus)